Development of a simplified method for intelligent glazed façade design under different control strategies and verified by building simulation tool BSim

Modelling and simulation of Building-Integrated solar thermal systems: Behaviour of the coupled building/system configuration

“…Liu et al [37] developed a simplified calculation method for intelligent glazed façade under different control conditions: night shutter, solar shading, natural ventilation. The developed method took into account the angle dependence of the solar characteristics (including the simplified hourly building model developed according to EN 13790) to evaluate the influence of the controlled façade on indoor environment and energy performance of the room.…”

Parametric analysis on the heat transfer, daylight and thermal comfort for a sustainable roof window with triple glazing and external shutter

“…Numerical simulations are conducted to calculate the U-value and the internal surface temperature of a window with triple glazing and external shutter. The model is developed by extending an existing method which has been verified by [2,33,34] and been used to simulate dynamic façade [3,35]. The model has been verified by simulation tool WINDOW 7.4 developed by Lawrence Berkeley National Laboratory [36].…”

Review of current status, requirements and opportunities for building performance simulation of adaptive facades

“…Workaround simulation strategies, therefore, have a long tradition in this field (Brahme et al 2009), and can be used for various legitimate reasons such as the complete absence of existing models for certain adaptive building envelope technologies; a lack of user expertise/experience; limited project resources (time and money) to move towards more complex models and the absence of advanced control options for determining the optimal dynamic building envelope properties. In many of these cases, the ability to reuse validated, high-resolution models is an important argument in favour of using existing software instead of the development of custom-made simulation code from scratch (Wetter 2011a), such as the approach taken by Liu, Wittchen, and Heiselberg (2014). A main drawback of using workarounds is that they tend to rely on approximations or simplifications that might infringe the physics of model representations and, consequently, also put the credibility of simulation outcomes at risk.…”